6103018 1 Jan van Rijn 146606 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4137188 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.3176597912343886 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 12 6902 min_samples_split 20 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 30353 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 23512 higgs https://www.openml.org/data/download/2063675/phpZLgL9q -1 13129768 description https://api.openml.org/data/download/13129768/description.xml -1 13129769 predictions https://api.openml.org/data/download/13129769/predictions.arff area_under_roc_curve 0.8013405839773744 [0.801341,0.801341] average_cost 0 f_measure 0.721449072191105 [0.702858,0.73803] kappa 0.4409064848673703 kb_relative_information_score 26473.41833325319 mean_absolute_error 0.3781528872032323 mean_prior_absolute_error 0.4983667141368659 number_of_instances 98050 [46223,51827] precision 0.721395735710313 [0.707199,0.734057] predictive_accuracy 0.7215502294747577 prior_entropy 0.9976424301660018 recall 0.7215502294747578 [0.69857,0.742046] relative_absolute_error 0.7587843980675254 root_mean_prior_squared_error 0.4991826723867985 root_mean_squared_error 0.4269488649517946 root_relative_squared_error 0.8552958437246545 total_cost 0 area_under_roc_curve 0.8051549177743254 [0.805155,0.805155] area_under_roc_curve 0.7974439049362454 [0.797444,0.797444] area_under_roc_curve 0.8015962841807609 [0.801596,0.801596] area_under_roc_curve 0.8031513920663809 [0.803151,0.803151] area_under_roc_curve 0.8066549239420924 [0.806655,0.806655] area_under_roc_curve 0.8040292161080148 [0.804029,0.804029] area_under_roc_curve 0.8043446299868767 [0.804345,0.804345] area_under_roc_curve 0.7908521709917247 [0.790852,0.790852] area_under_roc_curve 0.7919798298752044 [0.79198,0.79198] area_under_roc_curve 0.8081374443110415 [0.808137,0.808137] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7262938182414714 [0.708528,0.742143] f_measure 0.7180903524310637 [0.69768,0.736299] f_measure 0.7232929953254678 [0.706354,0.738405] f_measure 0.7196376317401909 [0.700979,0.736276] f_measure 0.7243345839921231 [0.706049,0.740641] f_measure 0.7222543788926354 [0.703227,0.739222] f_measure 0.7247797558338042 [0.707121,0.740527] f_measure 0.7115897625457377 [0.69108,0.72988] f_measure 0.7185404373042947 [0.700206,0.73489] f_measure 0.7256473985312104 [0.70724,0.742062] kappa 0.450680815411983 kappa 0.4340504816568969 kappa 0.44475895366241147 kappa 0.4372728526204289 kappa 0.4467055591105557 kappa 0.4424794751589993 kappa 0.4476540755882299 kappa 0.4210153346802683 kappa 0.43510634701319945 kappa 0.449322434619108 kb_relative_information_score 2676.8226033141177 kb_relative_information_score 2615.7856638423823 kb_relative_information_score 2640.708652600596 kb_relative_information_score 2665.136613668647 kb_relative_information_score 2685.729467783934 kb_relative_information_score 2670.1916837963886 kb_relative_information_score 2701.8673159993696 kb_relative_information_score 2544.549035631446 kb_relative_information_score 2569.9128365601473 kb_relative_information_score 2702.7144600561332 mean_absolute_error 0.3769429898419268 mean_absolute_error 0.3792228089369862 mean_absolute_error 0.37860096333924426 mean_absolute_error 0.37734426838584123 mean_absolute_error 0.3764931991447732 mean_absolute_error 0.3772846611693016 mean_absolute_error 0.3754887296239145 mean_absolute_error 0.38265857686731164 mean_absolute_error 0.3816648483426562 mean_absolute_error 0.37582782638032597 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] precision 0.7262489722044813 [0.711698,0.73923] precision 0.7180549580696984 [0.706182,0.728647] precision 0.7232822920746368 [0.706889,0.737907] precision 0.7195841587830475 [0.705123,0.73248] precision 0.7242836665506874 [0.710066,0.736963] precision 0.7222002646615324 [0.708791,0.734158] precision 0.7247407029820306 [0.709586,0.738255] precision 0.7115365579476726 [0.698409,0.723243] precision 0.7184930835306934 [0.70334,0.732006] precision 0.7255952717970173 [0.711812,0.737886] predictive_accuracy 0.7263640999490056 predictive_accuracy 0.7183069862315145 predictive_accuracy 0.7233044365119836 predictive_accuracy 0.7197348291687915 predictive_accuracy 0.7244263131055584 predictive_accuracy 0.7223865374808771 predictive_accuracy 0.7248342682304947 predictive_accuracy 0.7117797042325344 predictive_accuracy 0.7186129525752167 predictive_accuracy 0.7257521672616012 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 recall 0.7263640999490055 [0.705386,0.745079] recall 0.7183069862315146 [0.689379,0.744114] recall 0.7233044365119837 [0.705819,0.738904] recall 0.7197348291687914 [0.696884,0.740112] recall 0.7244263131055584 [0.702077,0.744357] recall 0.7223865374808771 [0.69775,0.744357] recall 0.7248342682304947 [0.704673,0.742813] recall 0.7117797042325344 [0.683903,0.736639] recall 0.7186129525752167 [0.697101,0.737797] recall 0.7257521672616012 [0.702726,0.746286] relative_absolute_error 0.7563504805044287 relative_absolute_error 0.7609250244393999 relative_absolute_error 0.7596772675389495 relative_absolute_error 0.7571645170823803 relative_absolute_error 0.7554567942284636 relative_absolute_error 0.7570449115308797 relative_absolute_error 0.753441264264438 relative_absolute_error 0.7678280043859291 relative_absolute_error 0.7658340268923783 relative_absolute_error 0.7541216827928838 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_squared_error 0.4253292080048123 root_mean_squared_error 0.4284127395083187 root_mean_squared_error 0.42695526544301526 root_mean_squared_error 0.4261976939591944 root_mean_squared_error 0.4245280257060925 root_mean_squared_error 0.4259992414843919 root_mean_squared_error 0.4253335559151775 root_mean_squared_error 0.4315898599104384 root_mean_squared_error 0.43124411807725294 root_mean_squared_error 0.4238234544703662 root_relative_squared_error 0.8520442500474503 root_relative_squared_error 0.8582213600082905 root_relative_squared_error 0.8553016630451772 root_relative_squared_error 0.8537940377583886 root_relative_squared_error 0.8504492219141495 root_relative_squared_error 0.8533964815487554 root_relative_squared_error 0.8520629258348866 root_relative_squared_error 0.86459606509225 root_relative_squared_error 0.863903446807446 root_relative_squared_error 0.8490377672564507 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 307195.906534 usercpu_time_millis 313594.81962399994 usercpu_time_millis 313851.1167800001 usercpu_time_millis 315013.45778600004 usercpu_time_millis 314334.7444750002 usercpu_time_millis 312809.91502400005 usercpu_time_millis 312390.82757000026 usercpu_time_millis 313543.8198479996 usercpu_time_millis 312254.84731700044 usercpu_time_millis 313192.1721580002 usercpu_time_millis_testing 496.16660800001 usercpu_time_millis_testing 483.25785299994095 usercpu_time_millis_testing 500.1722840000866 usercpu_time_millis_testing 486.06760799998483 usercpu_time_millis_testing 488.8155070000266 usercpu_time_millis_testing 484.3272610000895 usercpu_time_millis_testing 492.8896320002423 usercpu_time_millis_testing 485.1516629996695 usercpu_time_millis_testing 496.37284600021303 usercpu_time_millis_testing 482.4263099999371 usercpu_time_millis_training 306699.739926 usercpu_time_millis_training 313111.561771 usercpu_time_millis_training 313350.944496 usercpu_time_millis_training 314527.39017800003 usercpu_time_millis_training 313845.92896800017 usercpu_time_millis_training 312325.58776299993 usercpu_time_millis_training 311897.937938 usercpu_time_millis_training 313058.66818499996 usercpu_time_millis_training 311758.47447100026 usercpu_time_millis_training 312709.7458480002